Testing a machine learning approach to geophysical inversion

A common problem in the geosciences is the need to deduce unseen physical structure based on limited observations. For instance, a ground-penetrating radar observation attempts to infer underground structure without any in ...

Team develops method for neural net computing in water

Microprocessors in smartphones, computers, and data centers process information by manipulating electrons through solid semiconductors, but our brains have a different system. They rely on the manipulation of ions in liquid ...

Study employs deep learning to explain extreme events

Identifying the underlying cause of extreme events such as floods, heavy downpours or tornados is immensely difficult and can take a concerted effort by scientists over several decades to arrive at feasible physical explanations.

Teaching machines to recognize shapes

As any parent knows, teaching a toddler to recognize objects involves trial-and-error. A child, for example, may not initially recognize a cow in a picture-book after seeing the live animal on a farm and being told its label. ...

Next-gen computing: Memristor chips that see patterns over pixels

Inspired by how mammals see, a new "memristor" computer circuit prototype at the University of Michigan has the potential to process complex data, such as images and video orders of magnitude, faster and with much less power ...

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